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# Drawing scatterplot with categories in Seaborn

schedule Aug 12, 2023
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To draw a scatterplot with categories in Seaborn, use `sns,scatterplot(~)`.

# Example of drawing scatterplot with categories in Seaborn

Consider the following Pandas DataFrame:

``` import pandas as pdimport seaborn as snsdf = pd.DataFrame({ "Group":["A","A","B","B","A"], "Height":[120,150,180,140,160], "Weight":[50,60,70,80,70]})df.head() Group Height Weight0 A 120 501 A 150 602 B 180 703 B 140 804 A 160 70 ```

# Drawing a scatterplot with Seaborn

To draw a scatterplot of `Height` vs `Weight` with `Group` as the category:

``` ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group") ```

This gives us the following plot:

# Changing point markers

To vary the markers as well, use the `style` argument:

``` ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group") ```

This gives us the following plot:

Notice how group B is marked by a cross now instead of a point.

# Drawing different coloured points

To change the color of different categories, set the `pallete` argument:

``` ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group", palette="Set2") ```

This gives us the following:

For other color palettes, please visit https://seaborn.pydata.org/tutorial/color_palettes.html#qualitative-color-palettesopen_in_new.

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